À la Une

Soutenance de thèse Grigorios Anagnostopoulos


M. Grigorios Anagnostopoulos soutiendra, en vue de l'obtention du grade de docteur en systèmes d'information de la Faculté d'économie et de management (GSEM), sa thèse intitulée:

Addressing Crucial Issues of Indoor Positioning Systems


Date: Jeudi 23 novembre 2017 à 9h00

Lieu: Battelle bâtiment A - Salle 432-433 (3ème étage)



  • Prof. Gilles Falquet (Président du jury, University of Geneva)
  • Prof. Dimitri Konstantas (Co-directeur de thèse, University of Geneva)
  • Dr. Michel Deriaz  (Co-directeur de thèse, University of Geneva)
  • Prof. Jean-Henry Morin, University of Geneva
  • Prof. Jose Rolim, University of Geneva
  • Prof. Marios Aggelopoulos, University of Bournemouth


Over the last decade, the proliferation of Location-Based Services offered by smartphones has created the growing need for indoor positioning systems (IPS), at an increasing number of environments. Visitors of hospitals, airports, shopping centers and museums are being guided indoors, enjoying services related to their indoor location. Location-Based Services assist users not only in orienting themselves indoors and finding their destination, but also utilize the location of users as context to support a wide range of possible services. The quasi-ubiquitous presence of position estimates indoors is offered by modern indoor positioning systems.

The goal of this Thesis is to propose novel methodologies for addressing crucial issues of indoor positioning systems. The problems addressed in this work are met throughout the whole life cycle of an IPS conception, realisation and operation, from designing innovative positioning methodologies to defining novel evaluation and tuning methodologies.

Therefore, this Thesis initially investigates and reports the user needs and requirements concerning the wayfinding problems at a relevant and important use case: Geneva's Universities Hospitals (HUG). Following, it proposes innovative solutions that construct a robust indoor positioning system, along with ways of seamlessly switching from indoor to outdoor positioning. In order to strengthen the robustness of the system and reduce the required calibration effort, algorithms of automatic recalculation of the system are proposed and analysed, addressing the problems of device and environment diversity.

Lastly, well-defined methodologies of evaluating, comparing and optimally tuning positioning systems are proposed, addressing the most trending issues of the indoors positioning community. More specifically, an evaluation methodology for indoor positioning systems is proposed, as well as formal procedures for optimally tuning a positioning system, in an automatic way. Lastly, multiobjective optimization techniques are introduced in order to offer generic tunings based on a more holistic evaluation.

In this way, the proposed methodologies of this Thesis define an innovative, complete roadmap for designing an innovative IPS, from designing and creating a robust indoor positioning system, to optimally tuning it in an automatic way and producing precise performance reports.

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